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Skip search results from other journals and go to results- 20 Journal of Medical Internet Research
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The Role of AI in Cardiovascular Event Monitoring and Early Detection: Scoping Literature Review
This capability could be especially significant in the context of cardiology, the specific subject of our study, helping to provide a more comprehensive understanding of a patient’s cardiovascular health.
Cardiovascular diseases (CVDs) remain the leading cause of mortality worldwide [7]. Globally, CVDs account for approximately 17.9 million deaths annually, representing 32% of all global deaths [8].
JMIR Med Inform 2025;13:e64349
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Cardiovascular medicine has been one of the earliest adopters of digital technology in health care because aspects of cardiovascular health, such as electrocardiograms (ECGs), are already proven to be clinically relevant and are measurable using both medical devices and consumer wearables [4-6].
JMIR Cardio 2025;9:e66464
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The key role of physical activity in cardiovascular diseases (CVDs) including peripheral artery disease (PAD) has been well reported within the scientific literature and has even been recognized as an effective nonmedical therapy and core component of cardiac rehabilitation [5,6]. Walking is the most natural physical activity that confers many benefits with minimal adverse effects [7-9].
JMIR Form Res 2025;9:e58964
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Untreated CKD can lead to end-stage kidney failure, which may require dialysis or transplant therapies, but the most common cause of death in people with CKD is cardiovascular disease (CVD) [4].
JMIR Form Res 2025;9:e54147
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The secondary outcomes included the effect of the intervention on cardiovascular risk factors, such as BP, lipid profile, body weight (BW), and adiposity, as well as its impact on dietary habits, stress relief, and psychological factors, assessed using validated questionnaires.
As shown in Figure 1, from July 2021 to March 2022, we screened 1045 potential candidates from the databases of primary care centers affiliated with Hospital Clínic of Barcelona, Spain.
J Med Internet Res 2025;27:e58319
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While many patients with acute pulmonary embolism (PE) are at increased risk of cardiovascular complications, a significant minority have a low risk of short-term adverse outcomes and no requirement for hospital-level therapies [1]. There is now strong evidence to recommend outpatient management of PE patients identified as low-risk using tools like the Pulmonary Embolism Severity Index (PESI) [2-5].
JMIR Med Inform 2025;13:e58800
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Uncontrolled hypertension, defined as BP ≥140/90 mm Hg may lead to major cardiovascular diseases, organ damage, stroke, or even death, if not properly managed over time [2,3]. Effective treatment for uncontrolled hypertension requires proper monitoring so that further disease progression can be detected and prevented.
Numerous studies have examined the risk factors related to hypertension.
JMIR Med Inform 2024;12:e58732
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Gender Bias in AI's Perception of Cardiovascular Risk
This phenomenon has been extensively reported in the management of cardiovascular disease, with evidence showing that women are inadequately represented in research, underdiagnosed, and subject to treatment disparities [5,6]. Mental illness stigma represents another bias, leading to suboptimal care that may also impact women more significantly, with research suggesting that physicians are more likely to view men’s symptoms as physical and women’s as psychosocial [7,8].
J Med Internet Res 2024;26:e54242
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Cardiovascular drug development requires synthesizing information about indications, mechanisms, biomarkers, and outcomes [1,2]. Large language models (LLMs) leveraging billions of data points could accelerate fundamental, resource-intensive aspects of this process, like screening published literature [3]. However, this depends on the design, development, and implementation of LLM instructions (prompt engineering) that work effectively within the context of cardiology [4-6].
JMIR Med Inform 2024;12:e64143
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Complex methods of cardiovascular diagnostics are increasingly being integrated from the clinical setting into everyday life. Wearable smart sensor technology necessitates real-life measurements to make the results usable for individualized and tailored care [1].
JMIR Res Protoc 2024;13:e63306
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